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deepvk
/
USER-base

Sentence Similarity
sentence-transformers
Safetensors
Russian
deberta
feature-extraction
Model card Files Files and versions
xet
Community
1

Instructions to use deepvk/USER-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use deepvk/USER-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("deepvk/USER-base")
    
    sentences = [
        "Это счастливый человек",
        "Это счастливая собака",
        "Это очень счастливый человек",
        "Сегодня солнечный день"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
USER-base
Ctrl+K
Ctrl+K
  • 4 contributors
History: 7 commits
bulatovv's picture
bulatovv
Update README.md
0e0d7c4 verified over 1 year ago
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  • .gitattributes
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  • config.json
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  • config_sentence_transformers.json
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  • merges.txt
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  • model.safetensors
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    xet
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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